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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Kapchinsky ENVelope (KENV)\n[![PyPI version](https://badge.fury.io/py/kenv.svg)](https://badge.fury.io/py/kenv)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fuodorov/kenv/master?filepath=notebooks%2Fintroduction.ipynb)\n\n\u003c!-- Further development will take place in the [binp-dev/kenv](https://github.com/binp-dev/kenv) repository. --\u003e\n\n## The solver of Kapchinsky-Vladimirsky envelope equation for electron beam with space charge.\n\n\u003ca href=mailto:fuodorov1998@gmail.com\u003eV. Fedorov\u003c/a\u003e, \u003ca href=mailto:nikdanila@bk.ru\u003eD. Nikiforov\u003c/a\u003e, \u003ca href=http://www.inp.nsk.su/~petrenko/\u003eA. Petrenko\u003c/a\u003e, (Novosibirsk, 2019)\n\n## Overview\n\nKENV is a solver code for the equation of the envelope of an electron beam with the Kapchinsky-Vladimirsky distribution for accelerator physics.\n\nIt is particularly suitable for accelerating an electron beam in direct channels with solenoidal and quadrupole focusing.\n\nIn order to use the KENV code correctly, it is **important to read the [Doc](https://fuodorov.github.io/kenv/).**\n\n## Algorithm\n\nThe algorithm reduces to lowering the order of the Kapchinsky-Vladimirsky differential equations to the first and subsequent integration.\n\n## Language\n\nKENV completely written in Python.\n\n## Installation\n\nIn order to quickly install all the required [Python](https://www.python.org/downloads/) libraries in the new environment, just download [requirements](https://github.com/fuodorov/kenv/blob/master/requirements.txt) and run the command on the command line:\n\n```\npip install -r requirements.txt\n```\n\n## Publications\n\n[Publication](http://www1.jinr.ru/Pepan_letters/panl_2020_2/13_nikifor.pdf) in Particles and Nuclei.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffuodorov%2Fkenv","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffuodorov%2Fkenv","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffuodorov%2Fkenv/lists"}